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首页> 外文期刊>Renewable Power Generation, IET >Hierarchical optimisation strategy for energy scheduling and volt/var control in autonomous clusters of microgrids
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Hierarchical optimisation strategy for energy scheduling and volt/var control in autonomous clusters of microgrids

机译：微电网自主集群中能量调度和电压/电压控制的分层优化策略

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摘要

This study proposes a hierarchical optimisation strategy for the energy dispatch and volt/var control problem of a photovoltaic-battery microgrid cluster (MGC) operating autonomously. The proposed approach takes advantage of the decentralised control architecture existing in multi-microgrids (MMGs) framework by distributing the management responsibilities between the microgrid central controllers (MGCCs) and the central autonomous management controller (CAMC). In the first stage, the optimisation strategy solves a multi-temporal active power scheduling problem for the MGC based on consumption and generation forecasts. In the second stage, the reactive power and volt/var control are addressed by taking into account the medium-voltage (MV) and low-voltage levels independently. For this purpose, each MGCC computes the V(Q) capability area of operation at the boundary bus with the MV grid. Then, the CAMC performs an optimal power flow at the MV level for each time step, whose results at the boundary bus are considered in the last stage to schedule reactive power at the MGCC level. The effectiveness of the proposed strategy is demonstrated in a cluster of three microgrids. It keeps the modularity, interoperability and scalability characteristics of the MMG concept by clearly defining the roles and the information to be exchanged between the CAMC and the MGCC.
机译：本研究针对自主运行的光伏电池微电网集群（MGC）的能量分配和伏特/无功控制问题提出了一种分层优化策略。所提出的方法通过在微电网中央控制器（MGCC）和中央自治管理控制器（CAMC）之间分配管理职责来利用多微电网（MMG）框架中存在的分散控制架构。在第一阶段，优化策略基于能耗和发电量预测为MGC解决了多时间有功功率调度问题。在第二阶段，通过分别考虑中压（MV）和低压水平来解决无功功率和伏特/无功控制。为此，每个MGCC使用MV网格计算边界总线上的V（Q）能力操作区域。然后，CAMC针对每个时间步在MV级别执行最佳功率流，在最后阶段考虑边界总线的结果，以将无功功率计划在MGCC级别。在三个微电网的集群中证明了所提出策略的有效性。通过明确定义CAMC和MGCC之间的角色和要交换的信息，它保留了MMG概念的模块化，互操作性和可伸缩性特征。

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